| Title |
Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
|
|---|---|
| Published in |
Cell Regeneration, August 2020
|
| DOI | 10.1186/s13619-020-00042-8 |
| Pubmed ID | |
| Authors |
Shujing Lai, Lifeng Ma, Weigao E, Fang Ye, Haide Chen, Xiaoping Han, Guoji Guo |
| Abstract |
Recently, single-cell RNA-seq technologies have been rapidly updated, leading to a revolution in biology. We previously developed Microwell-seq, a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq) method with a very simple device. Most cDNA libraries are sequenced using an expensive Illumina platform. Here, we present the first report showing combined Microwell-seq and BGI MGISEQ2000, a less expensive sequencing platform, to profile the whole transcriptome of 11,883 individual mouse adult adrenal gland cells and identify 18 transcriptionally distinct clusters. Moreover, we performed a single-cell comparative analysis of human and mouse adult adrenal glands to reveal the conserved genetic networks in these mammalian systems. These results provide new insights into the sophisticated adrenal gland hierarchy and provide a benchmark, low-cost strategy for high-throughput single-cell RNA study. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Master | 4 | 18% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 23% |
| Agricultural and Biological Sciences | 4 | 18% |
| Engineering | 2 | 9% |
| Business, Management and Accounting | 1 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 December 2020.
All research outputs
#14,492,205
of 23,225,652 outputs
Outputs from Cell Regeneration
#70
of 156 outputs
Outputs of similar age
#221,837
of 398,585 outputs
Outputs of similar age from Cell Regeneration
#4
of 8 outputs
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